DocumentCode :
3449115
Title :
The study on inclination feature model of tower crane under the condition of severe overload
Author :
Wang Jiyong ; Song Shijun ; Qiao Caifeng ; Song Lian´yu
Author_Institution :
Sch. of Mech. & Electron., Shandong JianZhu Univ., Ji´nan, China
Volume :
2
fYear :
2011
fDate :
20-22 Aug. 2011
Firstpage :
109
Lastpage :
115
Abstract :
In common condition we can say that the tower crane is overloaded when the value of lifting load is far more than that of design. As a matter of fact, because of the influences of wind load and loose bolts some collapsed accidents of tower crane took place while lifting load was less than design value. So in this paper a model named TLIM (tower crane loading inclination feature model) is established based on TCBIM (tower crane body inclination model). There are three differences between TLIM and normal healthy model: first, the coordinate of tower body top inclination is in the front of TCBIM when it is under the condition of severe overload; second, it is can be defined that the critical collapsed state is the suitable external envelope of tower body top inclination; at last, the angle difference δθ between tower body top inclination and TCBIM is measurable. It is proved in this paper that the model TLIM is correct through analyzing experimental data, and not only is it significant to the auto-detect of tower collapsed accidents caused by overload, but also a feasible method for people to monitor and prevent tower from collapsing.
Keywords :
accident prevention; cranes; design engineering; fasteners; lifting; bolts; critical collapsed state; design value; external envelope; lifting load; normal healthy model; tower body top inclination; tower collapsed accident; tower crane body inclination model; tower crane loading inclination feature model; wind load; Accidents; Analytical models; Cranes; Educational institutions; Load modeling; Poles and towers; Radiation detectors; inclination feature; severe overload; tower crane;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
Type :
conf
DOI :
10.1109/ITAIC.2011.6030288
Filename :
6030288
Link To Document :
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